Predictor of low birth weight babies by anthropometry

Abstract

Objective: The present study was undertaken to find out the best simpe anthropometric parameter for identifying low birth weight (LBW) babies. Study design: Hospital-based cross-sectional study. Participants: Newborn babies born in KHS hospital, Sevagram. Results: In the present study, out of 868 newborn babies studied, 52.2% were male. Total 12.6% of them were birth weight <2000 g and 44.6% were birth weight < g. Birth weight was significantly correlated (p<0.001) with thigh circumference (TC), mid-arm circumference (MAC), calf circumference (CFC) and head circumference (HC). All anthropometric indicators had a statistically significant sensitivity, specificity and predictive value (p<0.001) for identifying ≤2500 g birth weight babies. Receiver operating curve (ROC) analysis was done to identify the optimal cut-off points of these anthropometric measures separately for LBW babies and <2000 g birth weight babies. Conclusion: HC and TC appears to be better indicators for picking up LBW babies and MAC and CFC appears to be better in picking up very LBW babies. © The Author [2007]. Published by Oxford University Press. All rights reserved.